Assessment of factors affecting timing of discharge in pediatric cancer patients with febrile neutropenia

The diagnosis of lymphoma, poor general condition at admission, presence of microbiologically defined infection, thrombocytopenia, delayed recovery of absolute neutrophil counts, and prolonged fever duration were significant factors in determining the treatment duration and predicting discharge time.

Authors

Institutions

Publication Details

Journal
The Turkish Journal of Pediatrics
Published
2025-11-06
DOI
https://doi.org/10.24953/turkjpediatr.2025.5170
Primary Topic
Neutropenia and Cancer Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of factors affecting timing of discharge in pediatric cancer patients with febrile neutropenia

Bilgehan Yalçın, Ali Varan, Nilgün Kurucu, Ceren Üstün et al.
The Turkish Journal of Pediatrics
Neutropenia and Cancer Infections
article

Assessment of factors affecting timing of discharge in pediatric cancer patients with febrile neutropenia

Bilgehan Yalçın, Ali Varan, Nilgün Kurucu, Ceren Üstün, M. Tezer Kutluk, Burça Aydın
article en

Abstract

The diagnosis of lymphoma, poor general condition at admission, presence of microbiologically defined infection, thrombocytopenia, delayed recovery of absolute neutrophil counts, and prolonged fever duration were significant factors in determining the treatment duration and predicting discharge time.

The Turkish Journal of PediatricsVol. 67(6)
Hacettepe University (TR)
Openalex Percentile: Top 55%
Neutropenia and Cancer Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.